Awesome-Constraint-Learning

A list of awesome resources related to constraint learning

Contents

• Papers
  • Survey Papers
  • Benchmark
  • Data Augmentation
  • Logical Constraints
  • Concept bottleneck models
  • Model Editing

Papers

Survey Papers

Venue	Title	Affiliation	Link	Source
IJCAI 2022	Deep Learning with Logical Constraints	University of Oxford	[paper]
TKDE 2019	Informed machine learning-a taxonomy and survey of integrating prior knowledge into learning systems	Fraunhofer IAIS	[paper]
Scientific Reports 2022	A review of some techniques for inclusion of domain-knowledge into deep neural networks		[paper]

Benchmark

Venue	Title	Affiliation	Link	Source
EMNLP 2020	CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning	USC	[paper]	[code]
Medical image analysis 2021	VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images	Technical University of Munich	[paper]	[code]

Data Augmentation

Venue	Title	Affiliation	Link	Source
CVPR 2015	Hyper-class Augmented and Regularized Deep Learning for Fine-grained Image Classification	UCSD	[paper]

Logical Constraints

Venue	Title	Affiliation	Link	Source
NIPS 2023	A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints	UCLA	[paper]	[code]
ACL 2016	Harnessing Deep Neural Networks with Logic Rules	CMU	[paper]	[code]
Applied Intelligence 1999	The Connectionist Inductive Learning and Logic Programming System	IC	[paper]
ICML 2018	A Semantic Loss Function for Deep Learning with Symbolic Knowledge	UCLA	[paper]	[code]
NAACL 2021	Neurologic decoding:(un) supervised neural text generation with predicate logic constraints	UW	[paper]	[code]
EMNLP 2017	Guided Open Vocabulary Image Captioning with Constrained Beam Search	The Australian National University	[paper]	[code]
NIPS 2022	Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation	NUS	[paper]	[code]
AAAI 2021	MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks	University of Edinburgh	[paper]	[code]
NIPS 2018	DeepProbLog: Neural Probabilistic Logic Programming	KU Leuven	[paper]	[code]
ICML 2022	Injecting Logical Constraints into Neural Networks via Straight-Through Estimators	Arizona State University	[paper]	[code]

Concept bottleneck models

Venue	Title	Affiliation	Link	Source
ICML 2020	Concept Bottleneck Models	Standard University	[paper]	[code]
ICLR 2023	POST-HOC CONCEPT BOTTLENECK MODELS	Standard University	[paper]	[code]
ICML 2023	Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat	BU	[paper]	[code]
CVPR 2023	Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification	UPENN	[paper]	[code]
ICLR 2023	Label-free Concept Bottleneck Models	UCSD	[paper]	[code]
AAAI 2023	Interactive Concept Bottleneck Models	Google	[paper]	[code]
NIPS 2022	Addressing Leakage in Concept Bottleneck Models	Harvard University	[paper]	[code]
ICML 2021	Promises and Pitfalls of Black-Box Concept Learning Models	Harvard University	[paper]
ICML 2018	Interpretability Beyond Feature Attribution:Quantitative Testing with Concept Activation Vectors (TCAV)	Google	[paper]	[code]

Model Editing

Venue	Title	Affiliation	Link	Source
ECCV 2020	Rewriting a Deep Generative Model	MIT	[paper]	[code]
NIPS 2021	Editing a classifier by rewriting its prediction rules	MIT	[paper]	[code]
arxiv 2024	DeepEdit: Knowledge Editing as Decoding with Constraints	UCLA	[paper]	[code]